Automated monitoring of your products and your competitors across the market — prices, availability and every change, delivered as alerts, dashboards and API feeds.
We watch the shops you compete with, match their products to yours with machine learning, and tell you the moment something moves.
E-shops and marketplaces monitored on the schedule you need — daily to intraday.
The same product recognised across shops despite different names, photos and packs — with human QA.
Price drops, delistings and promo starts land in your inbox or Slack as they happen.
A full change log from day one — see who moved first and how the market followed.
Clean, matched price data your pricing engine or analysts can act on directly.
Everything available as JSON feeds for your BI, ERP or pricing tools.
Send your catalogue — or just the categories — and the competitors you care about.
ML matches products across shops; monitoring runs on your schedule with QA on the matches.
Dashboards for the team, alerts on changes, API feeds into your pricing process.
Your assortment against the market — filters, comparisons and exports.
Matched, cleaned price data as JSON — ready for automation.
We collect publicly displayed prices, responsibly and within agreed scope — sources and methods are fixed in the contract, so your legal team knows exactly what runs.
ML does the heavy lifting and humans verify the matches that matter; match confidence is visible per product, and you can flag corrections that feed back into the model.
Usually yes — new sources are added per request and priced into the scope.
A pilot on one category typically runs within weeks, including matching QA.
“You can’t win a price war you can’t see. Most teams react days late — and the data was public all along.”
Pick a category and three competitors — we’ll run a pilot and show you the matches, the moves and what you’d have caught earlier.
Request a demo